论文标题
更聪明，更个性化的turbotax的税收知识图
Tax Knowledge Graph for a Smarter and More Personalized TurboTax
论文作者
论文摘要
大多数知识图用例以数据为中心，重点是表示数据实体及其语义关系。没有公开的成功案例可以用知识图技术代表大规模复杂的商业逻辑。在本文中，我们将通过大规模的知识图分享代表美国和加拿大所得税合规逻辑（计算和规则）的创新和实用方法。我们将介绍如何构建和自动化的税收知识图，如何用于计算退税，有理由找到丢失的信息并导航以解释计算的结果。税收知识图已帮助将Intuit的旗舰TurboTax产品转变为智能和个性化的体验，加速和自动化税收准备过程，同时灌输对数百万客户的信心。
Most knowledge graph use cases are data-centric, focusing on representing data entities and their semantic relationships. There are no published success stories to represent large-scale complicated business logic with knowledge graph technologies. In this paper, we will share our innovative and practical approach to representing complicated U.S. and Canadian income tax compliance logic (calculations and rules) via a large-scale knowledge graph. We will cover how the Tax Knowledge Graph is constructed and automated, how it is used to calculate tax refunds, reasoned to find missing info, and navigated to explain the calculated results. The Tax Knowledge Graph has helped transform Intuit's flagship TurboTax product into a smart and personalized experience, accelerating and automating the tax preparation process while instilling confidence for millions of customers.
